• 동아시아식생활학회지
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• 제3권2호
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• pp.83-97
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• 1993

The purpose of this study is to serve as the basic data for the possible effort of succeeding to traditional culture. The major findings of this study are as follows : On the question about [the importance of Special Days] was shown to average score of 3.8 On the question about [helpfulness degree of Seasonally Special Days] was shown to average score of 3,4 Regarding to the kinds of Seasonally Special days that people celebrate most, [The New Year's Day], [Chusok(Chinese Thanks-giving day)], [Dried Vegetables and mixed bowl of five-sort grains(Chusok:The 1st Full-Moon Day)], [Red beans Gruel (The Winter Solstice)] were shown to enjoy most. In preparation of dishes for Seasonally Special Days, about 58% of the respendants answered that they prepared them at their own homes. [Rice Cake] was shown to the highest among the kinds of ready-made deshes for Seasonally Special Days. On the hand down to foods for Seasonally Special Days, about 38% of respondants answered that they do want to their daughters, The significant variable on family environment for this if family religion. On the prospect for succession of the Seasonally Special Days' customs including the dishes, about 80% of respondants answered that a part of them would be handed down to next generations. The significant variable on family environment for this is subjects' religion. On the degree of recognition of the Seasonally Special Days, mothers's group was predominent(compared with daughters')

• 융합신호처리학회논문지
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• 제5권1호
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• pp.53-59
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• 2004

부하예측의 경우 가장 중요한 문제는 특수일의 부하를 예측하는 것이고, 따라서 본 본문은 과거 특수일 부하 데이터를 이용하여 신경회로망 모델에 의해서 특수일 피크부하를 예측하는 방법을 제시한다. 특수일 부하는 예측되었고, 예측 오차율은 광복절을 제외하고는 l∼2% 정도의 비교적 우수한 예측결과를 도출하였다. 따라서 사용한 예측 모델은 특수일의 부하에 만족스러운 정밀한 예측이 가능하고. 신경회로망은 특수일 부하 예측의 결과를 검증하기 위해 4차 직교다항식모형과 특수일 부하의 예측에효과적인 패턴 변환비를 이용한 신경회로망 모형을 구성했다. 한편, 시간별 특수일의 부하예측에도 신경회로망을 적용한 특수일 부항예측의 경우와 같은 양호한 예측결과를 보였다.

• 조명전기설비학회논문지
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• 제16권2호
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• pp.98-103
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• 2002

전력수요를 예측할 경우 가장 중요한 문제 중의 하나가 특수일 부하의 처리문제이다. 따라서 본 연구에서 길고(구정, 추석) 짧은(식목일, 현충일 등) 특수일 피크 부하를 신경회로망과 회귀모형을 이용하여 예측하는 방법을 제시한다. 신경회로망 모형의 특수일 부하 처리는 패턴 변환비를 이용하며, 4차의 직교 다항 회귀모형은 과거의 10년 (1985∼1994)간의 특수일 피크부하 자료를 이용하여 길고 짧은 특수일 부하를 예측한다. 특수일 피크 부하를 예측한 결과, 신경회로망 모형의 주간 평균 예측 오차율과 직교 다항 회귀모형의 예측 오차율을 분석한 결과 1∼2[%]대로 두 모형 모두 양호한 결과를 얻었다. 또한 4차의 직교 다항 회귀 모형의 수정결정계수 및 F 검정을 분석한 결과 구성한 예측 모형의 타당성을 확인하였다. 두 모형의 특수일 부하를 예측한 결과를 비교해 보면 긴 특수일 부하를 예측할 때는 패턴 변환비를 이용한 신경회로망 모형이 보다 더 효과적이었고, 짧은 특수일 부하를 예측할 경우에는 두 방법 모두 유효하였다.

• 전기학회논문지
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• 제65권7호
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• pp.1115-1120
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• 2016

This paper presents the daily load forecasting for special days considering the rate of operation of industrial consumers. The authors analyzed the power consumption pattern for both the special and ordinary days according to the contract power classification of industrial consumers, and selected 400~600 specific consumers for which the rates of operation during special days are needed. Load forecasting for 2014 special days considering the rate of operation of industrial consumers showed a noticeable improvement on forecasting error of daily peak demand, which proved the effectiveness of the survey for the rates of operation during special days of industrial consumers.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 A
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• pp.295-297
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• 2000

In case of power demand forecasting the most important problem is to deal with the load of special-days, Accordingly, this paper presents a method that forecasting special-days load with regression models and neural networks. Special-days load in summer season was forecasted by the multiple regression models using weekday change ratio Neural networks models uses pattern conversion ratio, and orthogonal polynomial models was directly forecasted using past special-days load data. forecasting result obtains % forecast error of about $1{\sim}2[%]$. Therefore, it is possible to forecast long and short special-days load.

• 융합신호처리학회논문지
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• 제2권3호
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• pp.73-78
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• 2001

특수일 부하를 예측하기 위하여 BP 신경회로망 모형과 다중 회귀모형을 구성한다. 신경회로망 모형은 패턴 변환비를 이용하고, 다중회귀 모형은 평일 환산비를 이용하여 특수일 부하를 예측한다. 주간 피크 부하예측 모형에 패턴 변환비를 이용하여 짧고 긴 특수일 부하를 예측 한 결과 주간 평균 오차율이 1∼2[%]로 나와 본 기법의 적합성을 확인할 수 있다. 하지만, 패턴 변환비 방법으로는 하계의 특수일 부하 예측은 어려웠다. 따라서 기온-습도, 불쾌지수 등을 설명변수로 하는 다중 회귀 모형을 구성하고 평일 환산비를 이용하여 하계의 특수일 부하를 예측한다. 평일만의 예측 모형과 예측 결과를 비교해 보면 월 평균 오차율이 비슷하게 나와 이용한 방법의 적합성을 확인하였다. 그리고, 통계적 검정을 통해 구성한 예측 모형의 유효성을 입증할 수 있었다. 이로서 본 연구에서 제시한 특수일 부하를 예측하는 기법의 적합성을 확인함으로서 피크 부하 예측시 큰 난점 중의 하나가 해결되었다.

• 전기학회논문지
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• 제62권4호
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• pp.482-488
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• 2013

Load forecasting is essential to the economical and the stable power system operations. In general, the forecasting days can be classified into weekdays, weekends, special days and special light-load periods in short-term load forecast. Special light-load periods are the consecutive holidays such as Lunar New Years holidays, Korean Thanksgiving holidays and summer special light-load period. For the weekdays and the weekends forecast, the conventional methods based on the statistics are mainly used and show excellent results for the most part. The forecast algorithms for special days yield good results also but its forecast error is relatively high than the results of the weekdays and the weekends forecast methods. For summer special light-load period, none of the previous studies have been performed ever before so if the conventional methods are applied to this period, forecasting errors of the conventional methods are considerably high. Therefore, short-term load forecast for summer special light-load period have mainly relied on the experience of power system operation experts. In this study, the trends of load profiles during summer special light-load period are classified into three patterns and new forecast algorithms for each pattern are suggested. The proposed method was tested with the last ten years' summer special light-load periods. The simulation results show the excellent average forecast error near 2%.

• 한국안전학회지
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• 제37권6호
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• pp.118-127
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• 2022

This study analyzes the characteristics of occupational accidents of food delivery via motorcycle in terms of accident probability and work-days. Depending on their employment status, food-delivery workers were divided into "employed" workers (who work for restaurants) and "special-type" workers (who work for delivery platforms). Collected data include occupational accident-information during the last two years (1,468 cases for employed workers and 4,899 cases for special-type workers) and their risk information such as age, work experience, accident location, season of the accident, and weather conditions. The study finds that special-type workers had a significantly higher accident probability for the younger age group (80.8%), while employed workers had more accidents in both 20's or younger (34.9%) and 50's or older (25.4%). The number of work-days-lost was higher for special-type workers with less work experience, and it decreased with increasing work experience. Moreover, the chance for accidents was higher at night time (55%) than for day time (45%) for special-type workers as well as for employed workers. The number of work-days-lost was higher in foreign workers (180.79 days) than in Korean workers (121.44 days). Accident probability (30.7%) and work-days-lost (136.2 days) was higher in winter than in other seasons. In addition, accidents-per-day was higher on snowy days (12.7 cases per day) than rainy (8.1) and windy days (7.1). In addition, it was found that deadly accidents mainly caused injuries to face, head, and chest, while non-deadly accidents affected mainly the legs and feet. This study enables the development of better policies to prevent accidents of food delivery workers.

• 조명전기설비학회논문지
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• 제19권5호
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• pp.94-102
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• 2005

본 논문은 전력계통에서의 전력수요예측을 하기 위한 네가지중 하나의 방법으로 특수일에 적용기법인 수요예측 담당자의 Know-How를 기반으로 예측하는 전문가법에 대하여 과거 15년간의 수요실적과 기상실적을 근거로 년중 모든 특수일에 대해서 수요패턴 분석을 실시하고 패턴의 변화되는 과정을 살펴보았다. 과거 전력수요 실적의 근거로 산출된 시간대별 상대계수의 수요패턴을 가지고 모의 운영한 결과 설 연휴 수요예측 오차율은 과거 5일간(2002, 2003년도)의 평균값 $3.23{[\%]}$에서 2005년도 설 연휴 실적대비 $1.78{[\%]}$로 상당한 개선효과가 있었다. 본 논문의 내용을 바탕으로 전력수요 예측 편람을 작성하는 것도 입문교재로서 수요예측 전문가 양성에 큰 도움을 줄 수 있을 것으로 기대된다.

• 대한약침학회지
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• 제8권3호
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• pp.107-113
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• 2005

Objectives : The purpose of this study is to report the effect of oriental medicine about two patients with oligomenorrhea. Methods : Two patients had no special abnormality in BC, CBC, UA, ultra-sono, hormonal test in this study are 25-years-old and 26 years-old female who have over 40-days menstrual cycle. They had treated for 49-days, 21-days each by oriental medicine method. Their herb medicine is On-kyung-tang and Gwa-gi-eum. Main acupuncture points are Hapkok(LI4), Kihae(CV6), Gwanwon(CV3), Choksamni(ST36), Samumgyo(SP6) and moxibuation Gwanwon(CV3) and treated Carthami flos of Aqua-Acupuncture 0.05cc at Samumgyo(SP6). Results : After treatment, their menstrual cycle decreased 33-days, 36-days each. And improved dyspepsia, menstrual pain. Conclusions : Oriental medical methods are effective in two patients with oligomenorrhea had no special abnormality in BC, CBC, UA, ultra-sono, hormonal test.